CS60071: Algorithms For Bioinformatics

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CS60071
Course name Algorithms For Bioinformatics
Offered by Computer Science & Engineering
Credits 3
L-T-P 3-0-0
Previous Year Grade Distribution
1
1
1
2
2
2


EX A B C D P F
Semester Autumn


Syllabus

Syllabus mentioned in ERP

Sequence similarity, homology, and alignment. Pairwise alignment: scoring model, dynamic programmingalgorithms, heuristic alignment, and pairwise alignment using Hidden Markov Models. Multiple alignment:scoring model, local alignment gapped and ungapped global alignment. Motif finding: motif models, findingoccurrence of known sites, discovering new sites. Gene Finding: predicting reading frames, maximaldependence decomposition. Analysis of DNA microarray data using hierarchical clustering, model-basedclustering, expectation-maximization clustering, Bayesian model selection.


Concepts taught in class

Student Opinion

How to Crack the Paper

Classroom resources

Additional Resources

Time Table

Day 8:00-8:55 am 9:00-9:55 am 10:00-10:55 am 11:00-11:55 am 12:00-12:55 pm 2:00-2:55 pm 3:00-3:55 pm 4:00-4:55 pm 5:00-5:55 pm
Monday CSE-108
Tuesday CSE-108 CSE-108
Wednesday
Thursday
Friday